【摘要】：針對VRV空調(diào)溫度控制系統(tǒng)的滯后、時變、非線性等特點,提出將模糊控制和遺傳算法相結(jié)合,設(shè)計出基于改進遺傳優(yōu)化算法的模糊溫度控制器,進行了兩者對空調(diào)系統(tǒng)房間溫度控制的仿真及對比分析,結(jié)果表明采用改進遺傳算法的模糊控制器后,系統(tǒng)能夠迅速穩(wěn)定在設(shè)定值周圍,在大大縮短了調(diào)節(jié)時間和減小穩(wěn)態(tài)誤差的同時,保持了對擾動的抵抗能力,使得系統(tǒng)的穩(wěn)定性沒有太大改變,即算法可以保證房間溫度最終趨于設(shè)定值25℃。
[Abstract]:According to the characteristics of VRV air conditioning temperature control system, such as lag, time-varying and nonlinear, a fuzzy temperature controller based on improved genetic optimization algorithm is designed by combining fuzzy control with genetic algorithm. The simulation and comparative analysis of room temperature control between the two systems are carried out. The results show that the fuzzy controller with improved genetic algorithm can rapidly stabilize the system around the set value. At the same time, the stability of the system is not changed greatly because the stability of the system is not changed, that is to say, the temperature of the room can reach to 25 鈩，

本文編號：2406683